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Full Time Hedge Fund Software Engineer Jobs (NOW HIRING)

Quanta Search

QR Lead for a hedge fund

Manhattan, NY · On-site

Extensive knowledge and understanding of software engineering principles and practice ... Prior experience managing quantitative trading portfolios at a reputable hedge fund or trading firm

Schonfeld

Senior Software Engineer

Manhattan, NY · On-site

$134K - $177K/yr

The Senior Software Engineer will design, develop, deploy, and support applications while leading ... Founded in 1988, Schonfeld is a multi-strategy, multi-manager hedge fund with an investing ...

IQ-EQ

Manager - Fund Administration (Hedge Fund)

Norwood, MA · Hybrid

$78K - $106K/yr

You'll manage and train fund accountants, oversee the allocation of daily and monthly activities ... You excel in software proficiency including QuickBooks, Outlook, Excel, Word, and Investran, and ...

IQ-EQ

Manager - Fund Administration (Hedge Fund)

Norwood, MA · On-site

$78K - $106K/yr

You'll manage and train fund accountants, oversee the allocation of daily and monthly activities ... You excel in software proficiency including QuickBooks, Outlook, Excel, Word, and Investran, and ...

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All JobsFull Time Hedge Fund Software Engineer Jobs

Full Time Hedge Fund Software Engineer information

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$63.5K

$147.5K

$205.5K

How much do full time hedge fund software engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for full time hedge fund software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What does a Full Time Hedge Fund Software Engineer do?

A Full Time Hedge Fund Software Engineer designs, develops, and maintains software systems used by hedge funds to support trading, risk management, data analysis, and portfolio management. Their work often involves building custom trading platforms, integrating market data feeds, optimizing algorithms for speed and efficiency, and ensuring the reliability and security of financial systems. These engineers collaborate closely with traders, quantitative analysts, and other technology teams to deliver solutions that give the hedge fund a competitive edge. They typically use programming languages such as Python, C++, or Java and work in fast-paced, high-stakes environments.

What are some common challenges Full Time Hedge Fund Software Engineers face when working with real-time trading systems?

Full Time Hedge Fund Software Engineers often encounter challenges related to ensuring the reliability, speed, and scalability of real-time trading systems. The fast-paced nature of financial markets requires robust solutions that can handle large amounts of data with minimal latency. Engineers must also adapt quickly to evolving business requirements and collaborate closely with traders and quantitative analysts to implement and optimize trading strategies. Additionally, maintaining system security and complying with industry regulations are ongoing concerns.

What is the difference between Full Time Hedge Fund Software Engineer vs Quantitative Analyst?

AspectFull Time Hedge Fund Software EngineerQuantitative Analyst
Required CredentialsBachelor's/Master's in Computer Science, Engineering, or related fields; coding skillsDegree in Mathematics, Statistics, or Finance; strong analytical skills
Work EnvironmentDevelops trading systems, algorithms, and infrastructure within hedge fundsBuilds mathematical models and strategies to inform trading decisions
Industry UsageCommonly employed in hedge funds for technology developmentUsed across hedge funds and asset management firms for strategy development

While both roles operate within hedge funds, Full Time Hedge Fund Software Engineers focus on building and maintaining trading systems and infrastructure, requiring strong programming skills. Quantitative Analysts primarily develop mathematical models and trading strategies, emphasizing analytical and statistical expertise. Both roles are essential but differ in their core responsibilities and skill sets.

What are the key skills and qualifications needed to thrive as a Full Time Hedge Fund Software Engineer, and why are they important?

To thrive as a Full Time Hedge Fund Software Engineer, you need strong programming skills (commonly in Python, C++, or Java), a solid background in computer science, and often a degree in a related field such as Computer Science, Mathematics, or Engineering. Familiarity with financial systems, databases (like SQL), version control (Git), and experience with low-latency or high-performance computing are highly valued, and certifications in cloud computing or finance can be advantageous. Critical soft skills include problem-solving, attention to detail, effective communication, and the ability to work collaboratively in high-pressure environments. These skills are crucial for developing robust, efficient trading systems and ensuring technology reliably supports complex investment strategies.
More about Full Time Hedge Fund Software Engineer jobs
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Full Time Hedge Fund Software Engineer jobs near you
Infographic showing various Full Time Hedge Fund Software Engineer job openings in the United States as of June 2026, with employment types broken down into 4% Full Time, 95% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

QR Lead for a hedge fund

Quanta Search

Manhattan, NY • On-site

Full-time

Posted 15 days ago

Job description

Our client, a boutique US HedgeFund, is seeking a senior person to lead the research effort in the Quantitative Strategies Group. QSG seeks to develop quantitative models to uncover market dynamics and simulate the price discovery process. Research findings feed into automated trading strategies deployed in electronic markets. The Research Lead will be responsible for driving the research agenda and guiding ongoing R&D projects. The ideal candidate will have experience leading a QR team and/or agenda at a sophisticated trading firm. The candidate will demonstrate an ability to formulate, test, and implement research ideas quickly and robustly. As a Quantitative Research Lead you will:
  • Drive the research agenda with a view to meeting medium-term trading and business objectives
  • Manage development of research tools and applications for processing market data
  • Direct alpha research geared towards high-volume and scalable strategies
  • Oversee and implement strategy code to monetize findings on both sides of the order book
  • Contribute to ongoing R&D efforts for wide-ranging initiatives the team undertakes
  • Develop and test data-centric theories aimed at understanding intraday liquidity dynamics

Requirements
  • Graduate degree in Applied Math, Statistics/ML, Computer Science/Engineering, or similar
  • Proficiency in C++ with demonstrable experience building large-scale production applications
  • Proficiency in advanced data research & modeling using Python and/or R
  • Extensive knowledge and expertise designing statistical inference models and predictive analytics
  • Extensive knowledge and experience with high-volume, high-dimensional data modeling
  • Extensive knowledge and understanding of software engineering principles and practice
  • Demonstrable experience leading teams, projects, and timely execution of business objectives

Additional skills/experience that will reflect favorably
  • PhD in Applied Math, Statistics, ML, Computer Science/Engineering, Physics or similar
  • Prior experience managing quantitative trading portfolios at a reputable hedge fund or trading firm
  • Deep insights into global financial exchange micro-structure and micro-behavior
  • Prior experience managing or implementing Equities and/or Futures Statistical Arbitrage or HFT
  • Experience originating alpha/strategy development in an unprecedented environment or scale
  • Experience propelling firm-level innovation, intellectual breakthroughs, and business growth

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